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Error Message "RuntimeError: std:exception" Is Displayed for a PyTorch 1.0 Engine
Updated on 2025-06-06 GMT+08:00
Error Message "RuntimeError: std:exception" Is Displayed for a PyTorch 1.0 Engine
Symptom
When a PyTorch 1.0 image is used, the following error message is displayed:
"RuntimeError: std:exception"
Possible Causes
The symbolic link of libmkldnn in the PyTorch 1.0 image conflicts with that of the native Torch. For details, see conv1d fails in PyTorch 1.0.
Solution
- This issue is caused by library conflict in the environment. To resolve this issue, add the following code at the very beginning of the boot script:
import os os.system("rm /home/work/anaconda3/lib/libmkldnn.so") os.system("rm /home/work/anaconda3/lib/libmkldnn.so.0")
- Use the local PyCharm to remotely access notebook for debugging.
Summary and Suggestions
Before creating a training job, use the ModelArts development environment to debug your training code and minimize migration errors.
- Use the notebook environment for online debugging. For details, see Using JupyterLab to Develop Models.
- Use a local IDE (PyCharm or VS Code) to access the cloud environment for debugging. For details, see Using a Local IDE to Develop Models.
Parent topic: In-Cloud Migration Adaptation Issues
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